| Document Date: 2012-03-24 07:47:36
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City Rappoport / Reading / / Company Amazon / Coleman / Barnes and Noble / / Country United States / / / Facility New York University / / IndustryTerm online product sales / text mining approaches / influence product / expected online markets / user-generated online reviews / online product reviews / others better products / text mining / retail price / online recognition / possibility product / search goods / online retailers / information processing literature / data mining / web posts / electronics / online contexts / power law / online world / guage processing / online community / online markets / Web Page Interests Snippet Any Disclosure The reviewer rank / energy / / MarketIndex SMOG / Review Subjectivity AvgProb DevProb The / / MusicGroup KNOWLEDGE / DATA / / NaturalFeature Random Forests / Random Forest / / Organization Leonarn N. Stern School of Business / Department of Information / New York University / New York / / Person Panagiotis G. Ipeirotis / Anindya Ghose / Review Readability / / Position model the relationship / / ProvinceOrState New York / / Technology unsupervised algorithm / Digital cameras / data mining / machine learning / Digital Camera / / URL http /
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SUBMITTED FOR PUBLICATION AT IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer